DatriseAI-first ETL

SurveyMonkey Databricks SQL Warehouse

AI-first ETL from SurveyMonkey into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads SurveyMonkey into Databricks SQL Warehouse

Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

SurveyMonkey: Survey creation and response analytics.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How SurveyMonkey entities map to Databricks SQL Warehouse

SurveyMonkey entityDatabricks SQL Warehouse objectNotes
surveyssurveymonkey_surveysid PK · custom fields → VARIANT or STRUCT columns
questionssurveymonkey_questionsid PK · linked to surveymonkey_surveys
responsessurveymonkey_responsesid PK · linked to surveymonkey_surveys
collectorssurveymonkey_collectorsid PK · linked to surveymonkey_surveys

FAQ

How does Datrise handle SurveyMonkey's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the SurveyMonkey to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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